# NYU DLSP21: NYU Deep Learning Spring 2021

## Descriptions

- Offered by: NYU
- Prerequisites: Linear Algebra, Probability, and Python Programming
- Programming Languages: Python
- Difficulty: 🌟🌟🌟🌟
- Class Hour: ~80 hours

The most distinctive feature of this course is that it is taught by Yann LeCun. For many learners, this is a rare public opportunity to follow a full deep learning course from a top researcher.

Its style balances theory and intuition with a research-oriented perspective. It works especially well as a high-quality follow-up after introductory courses, helping you build better instincts for problem framing and model design.

## Course Resources

- Course Website: <https://atcold.github.io/NYU-DLSP21/>
- Recordings: Full lecture videos on the course website
- Textbooks: Lecture Notes / Slides
- Assignments: Assignments and practical materials on the course website

## Personal Resources

No public personal repository is currently provided for this course.
